RESEARCH PAPER
Investigating social support, self-efficacy, and factors affecting adherence to medication in people living with HIV/AIDS: application of IMB model
 
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1
Tropical and Communicable Diseases Research Center, Iranshahr University of Medical Sciences and Health Services, Iranshahr, Iran
 
2
Department of Public Health, School of Nursing and Midwifery, Iranshahr University of Medical Sciences and Health Services, Iranshahr, Iran
 
3
Department of Public Health, School of Public Health, Jiroft University of Medical Sciences, Jiroft, Iran
 
4
Department of Public Health, School of Health, Khoy University of Medical Sciences, Khoy, Iran
 
 
Submission date: 2021-08-08
 
 
Final revision date: 2021-09-06
 
 
Acceptance date: 2021-09-08
 
 
Publication date: 2022-04-13
 
 
HIV & AIDS Review 2022;21(2):109-114
 
KEYWORDS
TOPICS
ABSTRACT
Introduction:
Low social support and self-efficacy can result in negative impact on physical and mental well-being. Therefore, the present study was carried out to investigate social support, self-efficacy, and factors affecting adherence to medication in people living with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS).

Material and methods:
This descriptive co-relational study was performed among HIV/AIDS individuals over the age of 18 years, who were referred to the Behavioral Diseases Counseling Center in Kerman City, Iran, in 2017. In this regard, 117 patients were selected by census method and categorized into intervention and control groups. Later, we used AIDS Clinical Trials Group (ACTG) questionnaire to collect required data, and then before and 3 months after the intervention to assess medication adherence. The intervention was included eight 60-90 minutes training sessions, over the course of 14 weeks, based on Information-Motivation-Behavioral Skills (IMB) model.

Results:
The main reasons for ART non-adherence were forgetfulness in taking antiretroviral therapy (ART) (17.9%), away from home, depression (9.4%), and transportation problems (8.5%). Signifi­cant relationship was observed after the intervention based on IMB model with self-efficacy (0.000) and social support (0.010).

Conclusions:
The IMB model can be effective in promoting self-efficacy and social support in HIV patients. However, the information model was ineffective for major problems that had reduced adherence to medication regimen, such as forgetting to take medications, depression, and transportation issues.

 
REFERENCES (29)
1.
Wen J, Yeh TP, Xie H, Yu X, Tang J, Chen YJ. Resilience, self-esteem, self-efficacy, social support, depression and ART adherence among people living with HIV in Sichuan, China. AIDS Care 2021: 33: 1414-1421.
 
2.
WHO. Consolidated guideline on sexual and reproductive health and rights of women living with HIV. World Health Organization; 2017.
 
3.
Eisinger RW, Fauci AS. Ending the HIV/AIDS pandemic. Emerg Infect Dis 2018; 24: 413-416.
 
4.
Joint United Nations Programme on HIV/AIDS (UNAIDS) [Internet]. 90-90-90 – an ambitious treatment target to help end the AIDS epidemic. Available at: https://www.aidsactioneurope.o....
 
5.
Yalda A, Seyyed Alinaghi S, Hajiabdolbaghi MJ. Adherence to antiretroviral therapy and its determinants in AIDS patients. Tehran Univ Med J 2008; 66: 447-455.
 
6.
Movahed E, Morowatisharifabad MA, Farokhzadian J, et al. Antiretroviral therapy adherence among people living with HIV: directed content analysis based on information-motivation-behavioral skills model. Int Q Community Health Educ 2019; 40: 47-56.
 
7.
Montoya JL, Wing D, Knight A, Moore DJ, Henry BL. Development of an mHealth intervention (iSTEP) to promote physical activity among people living with HIV. J Int Assoc Provid AIDS Care 2015; 14: 471-475.
 
8.
Nyamathi A, Ekstrand M, Heylen E, et al. Relationships among adherence and physical and mental health among women living with HIV in rural India. AIDS Behav 2018; 22: 867-876.
 
9.
Bam K, Rajbhandari RM, Karmacharya DB, Dixit SM. Strengthening adherence to Anti Retroviral Therapy (ART) monitoring and support: operation research to identify barriers and facilitators in Nepal. BMC Health Serv Res 2015; 15: 188.
 
10.
de Fatima Bonolo P, Ceccato MdGB, Rocha GM, de Assis Acúrcio F, Campos LN, Guimarães MD. Gender differences in non-adherence among Brazilian patients initiating antiretroviral therapy. Clinics (Sao Paulo) 2013; 68: 612-620.
 
11.
Morowatisharifabad MA, Movahed E, Farokhzadian J, et al. Antiretroviral therapy adherence and its determinant factors among people living with HIV/AIDS: a case study in Iran. BMC Res Notes 2019; 12: 162.
 
12.
Amare T, Getinet W, Shumet S, Asrat BJ. Prevalence and associated factors of depression among PLHIV in Ethiopia: systematic review and meta-analysis, 2017. AIDS Res Treat 2018; 2018: 5462959.
 
13.
Bernard C, Dabis F, de Rekeneire NJ. Prevalence and factors associated with depression in people living with HIV in sub-Saharan Africa: a systematic review and meta-analysis. PLoS One 2017; 12: e0181960.
 
14.
Zareipour MA, Ardakani MF, Moradali MR, Jadgal MS, Movahed E. Determinants of COVID-19 Prevention Behavior in the Elderly in Urmia: Application of Health Belief Model. Open Access Maced J Med Sci 2020; 8 (T1): 646-650.
 
15.
Fisher JD, Fisher WA, Shuper PA. The information-motivation-behavioral skills model of HIV preventive behavior. In: DiCle­mente RJ, Crosby RA, Kegler MC (eds.). Emerging theories in health promotion practice and research. San Francisco: Wiley; 2009. pp. 22-63.
 
16.
Starace F, Massa A, Amico KR, Fisher JD. Adherence to antiretroviral therapy: an empirical test of the information-motivation-behavioral skills model. Health Psychol 2006; 25: 153-162.
 
17.
Kekwaletswe CT, Jordaan E, Nkosi S, Morojele NK. Social support and the mediating roles of alcohol use and adherence self-efficacy on antiretroviral therapy (ART) adherence among ART recipients in Gauteng, South Africa. AIDS Behav 2017; 21: 1846-1856.
 
18.
Fonsah JY, Njamnshi AK, Kouanfack C, et al. Adherence to antiretroviral therapy (ART) in Yaoundé-Cameroon: association with opportunistic infections, depression, ART regimen and side effects.PLoS One 2017; 12: e0170893.
 
19.
Hosseinalipour SA, Mohammadi M, Rahbar A, Mohammadbeigi A, Arabshahi A, Mohebi S. Assessment of Adherence to anti-tuberculosis treatment among patients with tuberculosis in Qom Province in 2019 (Iran). Qom Univ Med Sci J 2020; 14: 1-10.
 
20.
Shubber Z, Mills EJ, Nachega JB, et al. Patient-reported barriers to adherence to antiretroviral therapy: a systematic review and meta-analysis. PLoS Med 2016; 13: e1002183.
 
21.
Morowatisharifabad MA, Movahed E, Farokhzadian J, et al. Anti­retroviral therapy adherence based on information, motivation, and behavioral skills model and its association with depression among HIV-positive patients: health promotion strategy towards the 909090 target. J Educ Health Promot 2019; 8: 192.
 
22.
Ameri M, Movahed E, Farokhzadian J. Effect of information, motivation, and behavioral skills model on adherence to medication, diet, and physical activity in HIV/ADIS patients: a health promotion strategy. J Educ Health Promot 2020; 9: 317.
 
23.
Tumusiime DK, Stewart A, Venter FWD, Musenge E. The effects of a physiotherapist-led exercise intervention on peripheral neuropathy among people living with HIV on antiretroviral therapy in Kigali, Rwanda. S Afr J Physiother 2019; 75: 1328.
 
24.
Jiang M, Yang J, Song Y, et al. Social support, stigma, and the mediating roles of depression on self-reported medication adherence of HAART recipients in China. AIDS Care 2019; 31: 942-950.
 
25.
Nabunya P, Bahar OS, Chen B, Dvalishvili D, Damulira C, Ssewamala FM. The role of family factors in antiretroviral therapy (ART) adherence self-efficacy among HIV-infected adolescents in southern Uganda. BMC Public Health 2020; 20: 340.
 
26.
Wesevich A, Hosseinipour MC, Golin CE, et al. Female adherence self-efficacy before and after couple HIV testing and counseling within Malawi’s Option B+ program. AIDS Care 2020; 32: 170-174.
 
27.
Dashtian M, Eftekhar Ardebili H, Karimzadeh Shirazi K, Shahmoradi M, Azam K. Predicting factors affecting medication adherence and physical activity in patients with type-2 diabetes mellitus based on the theory of planned behavior. J School Public Health Inst Public Health Res 2017; 14: 133-146.
 
28.
Nelson LA, Wallston KA, Kripalani S, et al. Assessing barriers to diabetes medication adherence using the Information-Motivation-Behavioral skills model. Diabetes Res Clin Pract 2018; 142: 374-384.
 
29.
Talley CH, Yang L, Williams KP. Breast cancer screening paved with good intentions: Application of the information–motivation–behavioral skills model to racial/ethnic minority women. J Immigr Minor Health 2017; 19: 1362-1371.
 
eISSN:1732-2707
ISSN:1730-1270
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